• Start date: September 2027
• As a Graduate Cloud Platform Engineer, you’ll help develop, deploy and operate services across Graphcore’s high-performance AI infrastructure. Your work will support the systems used by internal teams and Graphcore cloud customers. We believe technology should expand human potential and make progress more accessible
• You’ll write automation, investigate issues, analyse logs and metrics, and help validate AI hardware and the infrastructure around it. It’s a chance to see how Linux, networking, storage and cloud services fit together and contribute to the platforms that make large-scale AI possible
• During the two-year programme, you’ll build practical experience in Linux, cloud technologies, networking, storage, observability, OpenStack , Kubernetes, continuous integration and delivery (CI/CD), and Infrastructure-as-Code
• Hands-on automation and troubleshooting will help you understand how these systems fit together and develop a methodical approach to investigating issues. You’ll learn to use logs and metrics to test your thinking and explain what you find
• Working with engineers, researchers and Datacentre Operations will help you understand how platform decisions affect the people using these services and develop your technical judgement and communication skills

Benefits

• Work-Life Balance: We believe you should have a good work-life balance. Everyone’s situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office
• Healthcare: We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones
• Pension: We believe that our employees deserve the best when it comes to planning for their future
• Income Protection: Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place
• Progression: We prioritise learning and development as an integral part of our culture at Graphcore. Our Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers
• Wellbeing: We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing

• Familiarity with Git or another version-control system, with a clear approach to documentation and code review
• Practical experience using the Linux command line, with scripting or programming skills such as Python or Bash
• A methodical approach to troubleshooting and the ability to communicate your findings and work with others
• A bachelor’s degree in Computer Science, Software Engineering, IT, Electronic Engineering or a related subject, completed by summer 2027 or within the two years before the programme starts
• You can demonstrate these skills through coursework, a dissertation, personal or team projects, open-source work, placements or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned
• You’ll be curious about cloud infrastructure, platform engineering or computer systems, with an interest in areas such as networking, storage, containers or observability

• Application deadline: Midnight, 29th November 2026
• As a Graduate Cloud Platform Engineer, you’ll help develop, deploy and operate services across Graphcore’s high-performance AI infrastructure. Your work will support the systems used by internal teams and Graphcore cloud customers. We believe technology should expand human potential and make progress more accessible
• You’ll write automation, investigate issues, analyse logs and metrics, and help validate AI hardware and the infrastructure around it. It’s a chance to see how Linux, networking, storage and cloud services fit together and contribute to the platforms that make large-scale AI possible